Semanticenabled Agile Knowledgebased egovernment Nenad Stojanovic FZI at the University of Karlsruhe

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Semantic-enabled Agile Knowledge-based
e-governmentNenad StojanovicFZI at the
University of KarlsruheGrigoris Mentzas,
Dimitris ApostolouICCS Athens
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Agenda

• Introduction
• SWOT analysis
• Attention Management

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Introduction As Is

• Knowledge has been and is still governments most
  important resource
• However, knowledge is regularly localized or even
  personal and difficult to share. Consequently
• a lot of wheel reinventing is going on in
  public administration
• the decision process still heavily depends on the
  knowledge of a public servant
• Moreover, knowledge in public administrations is
  subject to continual change
• the environment in which an e-government system
  operates can change
• public servants requirements often change after
  the e-government system has been built,
  warranting system adaptation
• the processing of unpredictable requests and
  exceptions arises unanticipated "knowledge
  needs.
• This is especially true for enlarged Europe

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Introduction To Be

• It should be sufficiently flexible to adapt to
  changing and diverse environments and needs.
• It should ensure continual improvement of the
  quality of the decision making process,
• It should enable fully empowering of public
  administrators, by providing efficient access to
  knowledge needed to resolve cases rapidly and
  accurately.
• Moreover, it should lay a foundation of a
  learning e-government that will be able to
  stimulate mobilisation and conversion of tacit
  knowledge on-demand and to foster trust and
  transparency, in order to achieve greater
  understanding, awareness and agility.

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Introduction The role of ontologies

• Assumption SW can enable/support transfer AsIs
  into ToBe

• However, be realistic!

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SWOT The role of ontologies in eGovernment KM

• Strengths
• Ontologies can help in improving search
• due to modeling background knowledge
• Ontologies can support dealing with very
  heterogeneous knowledge sources
• due to their meta-modeling capabilities
• Ontologies can support automatic validation /
  consistency of a KB in the case of changes
• due to their formal nature

• Explosion of information
• Extreme heterogeneity of information
• Changeability of information

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SWOT The role of ontologies in eGovernment KM

• Weaknesses
• Ontology development/evolution is a bottleneck
• who will develop ontologies
• Ontology population is a very big problem
• how to get facts
• Performance problem
• speed, scalability
• Relation to legacy systems
• Organizational/cultural issue
• Especially regarding new technology
• Standardization issues

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SWOT The role of ontologies in eGovernment KM

• Opportunities
• A lot of tools are available for (semi-)
  automatic ontology development and population
• There are efficient tools for reasoning
• There are ongoing standardization efforts
• There is a momentum
• SWEG

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SWOT The role of ontologies in eGovernment KM

• Threats
• Successfully deployed real semantic applications
  in public administration are missing
• even in the industry the success stories are
  missing
• Ontology-based KM is still (after 5 years) just
  an interesting research topic
• Skill management
• Expert finder
• Document management
• There are other (non-semantic) web technologies
  coming
• Web 2.0

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Challenges
Semantic search

• Explosion of information
• Extreme heterogeneity of information
• Changeability of information

Semantic modelling
Semantic propagation
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Attention Management

• Coined by T. Davenport
• "understanding and managing attention is now the
  single most important determinant of business
  success."
• Thomas Davenport - The Attention Economy
  Understanding the New Currency of Business

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Attention Management
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Attention management scenario

• Situation 1 a PA resolves a case whose
  regulative has been changed recently

SAKE
This is easy
Warrning The corresponding regulative has been
changed recently
Editorial process
Social tagging
PA
Index/ Metadata
Context of the Case Driver Licence AND Iran
AND Age65
Searching for virtual content
Content Mgm. Sys.
Change Management
Case
Case
Information Repositories
Processes Management System
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Changes
Law
Process Ontology
SAKE Ontology
reengineering
Semantic-based Attention Management System
Business Processes
alert
context
context
restructuring
Knowlege Worker
services
services
requests
Sem-Content Mgm. Sys.
Sem-Content Mgm. Sys.
log
Sem-Groupware System
log
log
Groupware Sys
Content Mgm
social tagging
tagging
usage
Metadata
access
...
User profiles
Lessons Learned
ONTOLOGY-BASED METADATA (including format for
changes)
Skill Map
Knowledge Sources
ONTOLOGY-BASED METADATA
Explicit knowledge
Information Ontology
Domain Ontology
The architecture Interfaces
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Changes
Law
Process Ontology
SAKE Ontology
reengineering
Business Processes
Semantic-based Change Management
context
context
Tacit Kn.
reediting
restructuring
Knowlege Worker
virtual content
virtual community
creating/ forgetting
Sem-Content Mgm. Sys.
Sem-Groupware System
log
log
social tagging
tagging
usage
Metadata
...
User profiles
Lessons Learned
Skill Map
Knowledge Sources
Explicit knowledge
Information Ontology
Domain Ontology
The architecture
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• Thank you